Announcing the awardees of the "Barel travel scholarships" by The Center for AI and Data Science (TAD)

Seven students from various disciplines at TAD were chosen to receive the "Barel travel scholarships" by the TAD committee

06 June 2024
Announcing the awardees of the "Barel travel scholarships" by The Center for AI and Data Science (TAD)
Announcing the awardees of the "Barel travel scholarships" by The Center for AI and Data Science (TAD) | Photo: Chen Galili

The Center for AI and Data Science at Tel Aviv University (TAD) announced in September 2023 a new program for Student Travel Scholarships.

 

This program is funded with the support of Dr. Monique Barel, in the memory of Sylvain Barel.

 

Seven students working in the field of AI at TAD were chosen to receive the "Barel travel scholarships" by the TAD committee.

 

As part of the Annual French Friends Scholarship Awarding Ceremony at Tel Aviv University On May 30, 2024, Dr. Monique Barel and Prof. Meir Feder awarded the students who won the "Barel travel scholarships."

 

Photo: Chen Galili

 

The awardees:

  1. Dan Coster, Computer Science, Faculty of Exact Sciences
    Research Title: "Risk Modeling of Time-Varying Covariates Using an Ensemble of Survival Trees: Predicting Future Cancer Events"
    Conference: AAAI, SPACA 2023, USA.
     
  2. Ofer Shinar, Communication, Faculty of Social Sciences
    Title:" Confessions in Times of Global Crisis: Semantic Network Analysis of Student Discourse on Social Media in the Midst of the Covid-19 Pandemic"
    Workshop: Media and Emotional Mobilization, Sweden.
     
  3. Maya Bechler, Computer Science , Faculty of Exact Sciences
    Title: "TREE-G: Decision Trees Contesting Graph Neural Networks"
    Conference: AAAI 2024, Canada.
     
  4. Neri Berman, Physics, Faculty of Exact Sciences
    Title: "Using past seismicity to predict the magnitude of future earthquakes"
    Conference: Statistical Seismology conference 2024, China.
     
  5. Yoni Choukroun, Computer Science, Faculty of Exact Sciences
    Title: "Deep Quantum Error Correction"
    Conference: AAAI Conference 2024, Canada.
     
  6. Or Hirschorn, Electrical Engineering, Faculty of Engineering
    Title: "Optimize and Reduce: A Top-Down Approach for Image Vectorization"
    Conference: AAAI 2024, Canada.
     
  7. Yuval Asher, Industrial Engineering, Faculty of Engineering
    Title: "Explaining Vision Models by Learning to Mask"
    Conference: IEEE International Conference on Data Mining 2023, China.

 

We thank Dr. Barel for the generous donation which is instrumental in advancing the AI research at TAU, and wish good luck to all the awardees in their research.

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